Beata Zielosko

发表

Dynamic programming approach to optimization of approximate decision rules

Igor Chikalov, Mikhail Ju. Moshkov, Talha Amin, 2013, Inf. Sci..

Assessing quality of decision reducts

Urszula Stanczyk, Beata Zielosko, 2020, KES.

On Partial Covers, Reducts and Decision Rules with Weights

Mikhail Ju. Moshkov, Beata Zielosko, Marcin Piliszczuk, 2007, Trans. Rough Sets.

Decision Tables with Many-Valued Decisions

Beata Zielosko, Mikhail Moshkov, 2011 .

Optimization of β-Decision Rules Relative to Number of Misclassifications

Beata Zielosko, 2012, ICCCI.

Application of Greedy Heuristics for Feature Characterisation and Selection: A Case Study in Stylometric Domain

Urszula Stanczyk, Beata Zielosko, Krzysztof Zabinski, 2018, IJCSR.

Advances in Feature Selection for Data and Pattern Recognition

Lakhmi C. Jain, Urszula Stańczyk, Beata Zielosko, 2018, Intelligent Systems Reference Library.

Sequential optimization of γ-decision rules

Beata Zielosko, B. Zielosko, 2012, 2012 Federated Conference on Computer Science and Information Systems (FedCSIS).

Dynamic Programming Approach for Partial Decision Rule Optimization

Igor Chikalov, Mikhail Ju. Moshkov, Talha Amin, 2012, Fundam. Informaticae.

Discretisation of conditions in decision rules induced for continuous data

Urszula Stańczyk, Beata Zielosko, Grzegorz Baron, 2020, PloS one.

Logical Analysis of Data: Theory, Methodology and Applications

Andrzej Skowron, Vadim V. Lozin, Igor Chikalov, 2013 .

Online Learning Algorithm for Ensemble of Decision Rules

Igor Chikalov, Mikhail Ju. Moshkov, Beata Zielosko, 2011, RSFDGrC.

Optimization of Decision Rules Relative to Coverage - Comparative Study

Beata Zielosko, 2014, RSEISP.

Application of Dynamic Programming Approach to Optimization of Association Rules Relative to Coverage and Length

Beata Zielosko, B. Zielosko, 2016, Fundam. Informaticae.

Approximate Tests, Decision Trees and Rules

Beata Zielosko, Mikhail Moshkov, 2011 .

Greedy Algorithms with Weights for Construction of Partial Association Rules

Mikhail Ju. Moshkov, Beata Zielosko, Marcin Piliszczuk, 2009, Fundam. Informaticae.

Greedy Algorithm for Attribute Reduction

Beata Zielosko, Marcin Piliszczuk, 2008, Fundam. Informaticae.

Data classification based on modified dynamic programming approach

Beata Zielosko, Krzysztof Żabiński, 2017 .

Universal Attribute Reduction Problem

Mikhail Ju. Moshkov, Beata Zielosko, Marcin Piliszczuk, 2007, RSEISP.

Upper Bounds on Minimum Cardinality of Exact and Approximate Reducts

Igor Chikalov, Mikhail Ju. Moshkov, Beata Zielosko, 2010, RSCTC.

Algorithms for Construction of Tests, Decision Rules and Trees

Beata Zielosko, Mikhail Moshkov, 2011 .

Greedy Algorithm for the Construction of Approximate Decision Rules for Decision Tables with Many-Valued Decisions

Mohammad Azad, Mikhail Ju. Moshkov, Beata Zielosko, 2016, Trans. Rough Sets.

On Construction of Partial Reducts and Irreducible Partial Decision Rules

Mikhail Ju. Moshkov, Beata Zielosko, Marcin Piliszczuk, 2007, Fundam. Informaticae.

On Partial Covers, Reducts and Decision Rules

Mikhail Ju. Moshkov, Beata Zielosko, Marcin Piliszczuk, 2008, Trans. Rough Sets.

Optimization of Decision Rules Relative to Length Based on Modified Dynamic Programming Approach

Beata Zielosko, Krzysztof Zabinski, B. Zielosko, 2018, Advances in Feature Selection for Data and Pattern Recognition.

Universal Problem of Attribute Reduction

Mikhail Ju. Moshkov, Beata Zielosko, Marcin Piliszczuk, 2008, Trans. Rough Sets.

Decision Trees and Rules over Quasilinear Information Systems

Beata Zielosko, Mikhail Moshkov, 2011 .

Dagger: A Tool for Analysis and Optimization of Decision Trees and Rules

Shahid Hussain, Igor Chikalov, Talha Amin, 2011 .

A Greedy Algorithm for Construction of Decision Trees for Tables with Many-Valued Decisions - A Comparative Study

Mohammad Azad, Igor Chikalov, Mikhail Moshkov, 2013, Fundam. Informaticae.

Intelligent Data Processing in Distributed Internet Applications

Alicja Wakulicz-Deja, Beata Zielosko, A. Wakulicz-Deja, 2005, Intelligent Information Systems.

Clustering of Partial Decision Rules

Beata Zielosko, Agnieszka Nowak-Brzezinska, 2009, ICMMI.

Recognition of Words and Diagnosis of Faults

Mikhail Moshkov, Beata Zielosko, 2011 .

Test Theory: Tools and Applications

Andrzej Skowron, Vadim V. Lozin, Igor Chikalov, 2013 .

Partial Covers, Reducts and Decision Rules in Rough Sets - Theory and Applications

Mikhail Ju. Moshkov, Beata Zielosko, Marcin Piliszczuk, 2009, Studies in Computational Intelligence.

Greedy Algorithms for Construction of Approximate Tests for Decision Tables with Many-Valued Decisions

Mohammad Azad, Igor Chikalov, Mikhail Ju. Moshkov, 2012, Fundam. Informaticae.

Examples from Applications

Mikhail Moshkov, Beata Zielosko, 2011 .

Optimization of Approximate Decision Rules Relative to Number of Misclassifications: Comparison of Greedy and Dynamic Programming Approaches

Igor Chikalov, Mikhail Ju. Moshkov, Talha Amin, 2012, KES.

Local and Global Approaches to Study of Trees and Rules

Mikhail Moshkov, Beata Zielosko, 2011 .

Advances in Feature Selection for Data and Pattern Recognition: An Introduction

Lakhmi C. Jain, Urszula Stanczyk, Beata Zielosko, 2018, Advances in Feature Selection for Data and Pattern Recognition.

Optimization of Inhibitory Decision Rules Relative to Coverage - Comparative Study

Beata Zielosko, 2015, BDAS.

Optimization and analysis of decision trees and rules: dynamic programming approach

Igor Chikalov, Mikhail Ju. Moshkov, Shahid Hussain, 2013, Int. J. Gen. Syst..

Optimization of Approximate Decision Rules Relative to Coverage

Beata Zielosko, 2014, BDAS.

Dynamic Programming Approach for Exact Decision Rule Optimization

Igor Chikalov, Mikhail Ju. Moshkov, Talha Amin, 2013, Rough Sets and Intelligent Systems.

Optimization of Approximate Inhibitory Rules Relative to Number of Misclassifications

Fawaz Alsolami, Igor Chikalov, Mikhail Ju. Moshkov, 2013, KES.

Decision Rule Systems and Decision Trees over Finite Binary Information Systems

Mikhail Moshkov, Beata Zielosko, 2015 .

Classifiers Based on Optimal Decision Rules

Igor Chikalov, Mikhail Ju. Moshkov, Talha Amin, 2013, Fundam. Informaticae.

Sequential Optimization of γ-Decision Rules Relative to Length, Coverage and Number of Misclassifications

Beata Zielosko, 2015, Trans. Rough Sets.

Decision Rules, Trees and Tests for Tables with Many-valued Decisions-comparative Study

Mohammad Azad, Igor Chikalov, Mikhail Moshkov, 2013, KES.

Combinatorial Machine Learning - A Rough Set Approach

Mikhail Ju. Moshkov, Beata Zielosko, M. Moshkov, 2011, Studies in Computational Intelligence.

Optimization of Approximate Decision Rules Relative to Number of Misclassifications

Igor Chikalov, Mikhail Ju. Moshkov, Talha Amin, 2012, KES.

Optimization of Decision Rules Relative to Length - Comparative Study

Beata Zielosko, Krzysztof Żabiński, B. Zielosko, 2018 .

Global Optimization of Exact Association Rules Relative to Coverage

Beata Zielosko, 2015, PReMI.

Comparison of Heuristics for Optimization of Association Rules

Fawaz Alsolami, Talha Amin, Beata Zielosko, 2019, CS&P.

Lower Bounds on Minimal Weight of Partial Reducts and Partial Decision Rules

Mikhail Ju. Moshkov, Beata Zielosko, Marcin Piliszczuk, 2006, RSKT.

Intelligent Medical Systems on Internet Technologies Platform

Beata Zielosko, Andrzej Jan Dyszkiewicz, 2004, MSRAS.

Optimization of Inhibitory Decision Rules Relative to Length and Coverage

Fawaz Alsolami, Igor Chikalov, Mikhail Ju. Moshkov, 2012, RSKT.

Decision Rules for Decision Tables with Many-Valued Decisions

Igor Chikalov, Beata Zielosko, 2011, RSKT.

On Approaches to Discretisation of Stylometric Data and Conflict Resolution in Decision Making

Urszula Stanczyk, Beata Zielosko, B. Zielosko, 2019, KES.

Relationships Between Length and Coverage of Decision Rules

Igor Chikalov, Mikhail Ju. Moshkov, Talha Amin, 2014, Fundam. Informaticae.

On Construction of Partial Association Rules

Mikhail Ju. Moshkov, Beata Zielosko, Marcin Piliszczuk, 2009, RSKT.

Global Optimization of Exact Association Rules Relative to Length

Beata Zielosko, 2015, CS&P.

Heuristic-based feature selection for rough set approach

Urszula Stanczyk, Beata Zielosko, B. Zielosko, 2020, Int. J. Approx. Reason..

Greedy Algorithm for Construction of Partial Association Rules

Mikhail Ju. Moshkov, Beata Zielosko, Marcin Piliszczuk, 2009, Fundam. Informaticae.

On Combining Discretisation Parameters and Attribute Ranking for Selection of Decision Rules

Urszula Stanczyk, Beata Zielosko, B. Zielosko, 2017, IJCRS.

Dynamic Programming Approach for Construction of Association Rule Systems

Fawaz Alsolami, Igor Chikalov, Mikhail Ju. Moshkov, 2015, CS&P.

Rough Sets

Davide Ciucci, Dun Liu, Dominik Slezak, 1995, Lecture Notes in Computer Science.

Optimization of Approximate Decision Rules Relative to Length

Beata Zielosko, Krzysztof Zabinski, B. Zielosko, 2018, BDAS.

Greedy Algorithm for Optimization of Association Rules Relative to Length

Beata Zielosko, Marek Robaszkiewicz, B. Zielosko, 2016, KES-IDT.

Greedy Algorithm for Construction of Decision Trees for Tables with Many-Valued Decisions

Mohammad Azad, Igor Chikalov, Mikhail Ju. Moshkov, 2011, CS&P.

Relationships Between Length and Coverage of Exact Decision Rules

Igor Chikalov, Mikhail Ju. Moshkov, Talha Amin, 2012, CS&P.

Three Approaches to Data Analysis - Test Theory, Rough Sets and Logical Analysis of Data

Andrzej Skowron, Vadim V. Lozin, Igor Chikalov, 2012, Intelligent Systems Reference Library.

Experiments with Real-Life Decision Tables

Mikhail Moshkov, Beata Zielosko, Marcin Piliszczuk, 2008 .

On Greedy Algorithms with Weights for Construction of Partial Covers

Mikhail Ju. Moshkov, Beata Zielosko, Marcin Piliszczuk, 2006, Intelligent Information Systems.

Optimization of Exact Decision Rules Relative to Length

Beata Zielosko, 2017, KES-IDT.

Bounds on Complexity of Tests, Decision Rules and Trees

Mikhail Moshkov, Beata Zielosko, 2011 .

Tests for decision tables with many-valued decisions — Comparative study

Mohammad Azad, Igor Chikalov, Mikhail Ju. Moshkov, 2012, 2012 Federated Conference on Computer Science and Information Systems (FedCSIS).

Three Approaches to Deal with Tests for Inconsistent Decision Tables - Comparative Study

Mohammad Azad, Igor Chikalov, Mikhail Ju. Moshkov, 2015, Trans. Rough Sets.

Length and Coverage of Inhibitory Decision Rules

Fawaz Alsolami, Igor Chikalov, Mikhail Ju. Moshkov, 2012, ICCCI.

Sets of Tests, Decision Rules and Trees

Mikhail Moshkov, Beata Zielosko, 2011 .

Optimization of Decision Rules Relative to Coverage - Comparison of Greedy and Modified Dynamic Programming Approaches

Beata Zielosko, 2015, ICMMI.

On Construction of Partial Association Rules with Weights

Mikhail Ju. Moshkov, Beata Zielosko, Marcin Piliszczuk, 2009, ICMMI.

Classifiers Based on Partial Reducts and Partial Decision Rules

Beata Zielosko, Marcin Piliszczuk, Arkadiusz Kocjan, 2008 .

Optimization of Decision Rules Based on Dynamic Programming Approach

Igor Chikalov, Mikhail Ju. Moshkov, Talha Amin, 2014, Innovations in Intelligent Machines.

Reduct-based ranking of attributes

Urszula Stanczyk, Beata Zielosko, B. Zielosko, 2020, KES.

Condition attributes, properties of decision rules, and discretisation: Analysis of relations and dependencies

Urszula Stańczyk, Beata Zielosko, B. Zielosko, 2021, KES.

Decision Rules Construction: Algorithm Based on EAV Model

Beata Zielosko, Krzysztof Zabinski, B. Zielosko, 2020, Entropy.

Selected approaches for decision rules construction-comparative study

Beata Zielosko, Krzysztof Żabiński, B. Zielosko, 2021, KES.

Decision Rules Derived from Optimal Decision Trees with Hypotheses

Mohammad Azad, Igor Chikalov, Mikhail Ju. Moshkov, 2021, Entropy.

Dynamic Programming Algorithm for Optimization of β-Decision Rules

Igor Chikalov, Mikhail Moshkov, Talha Amin, 2011 .

Construction of Tests for Tables with Many-Valued Decisions

Mikhail Moshkov, Beata Zielosko, M. Moshkov, 2011 .